Hand shape recognition method

A recognition method and hand shape technology, applied in the field of identity recognition, can solve problems such as large amount of calculation, and achieve the effect of simple algorithm, fast working speed and stable performance

Inactive Publication Date: 2009-07-01
SHENYANG POLYTECHNIC UNIV
View PDF0 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (2) The existing hand shape recognition adopts the point pattern matching method, which requires a large amount of calculation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hand shape recognition method
  • Hand shape recognition method
  • Hand shape recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] like figure 1 Shown, the inventive method is made up of following steps:

[0035] Step 1: Use an imaging device to obtain a hand image

[0036] During the shooting process, the five fingers of the person are in a naturally open state, the palm plane is parallel to the imaging plane of the imaging mechanism, and the distance between the palm plane and the imaging plane of the imaging mechanism is within a variable range.

[0037] Step 2: Extract the hand contour on the hand image

[0038] The obtained hand image is preprocessed, and the outline image of the hand can be obtained by binarizing the image, extracting the outline, and tracking the outline.

[0039] Step 3: Extract hand shape feature points according to the hand shape contour

[0040] Step three of the present invention includes:

[0041] a) Find the heel point between the thumb and index finger;

[0042] b) Starting from the finger-heel point found in a) above, search along the contour of the finger, mar...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a personal identity identification method based on hand shapes, which adopts an imaging device to obtain human hand images, and obtaining personal character description through computer analyzing and processing, and achieving personal identity identification. The concentrate implementation step comprises the following steps: firstly, adopting an imaging device to obtain hand shape images, secondly, extracting hand shape outlines on the hand shape images, thirdly, extracting hand shape characteristic points according to the hand shape outlines, fourthly, forming hand shape characteristic vectors according to the hand shape characteristic points, fifthly, matching hand shape characteristics according to the hand shape characteristic vectors. The personal identity identification method is mainly characterized in of simple algorithm, high received degree of a tester and stable performance, which is easy to achieve multi-modality identification. The personal identity identification method is particularly suitable for the occasions of a gate inhibition and the like.

Description

technical field [0001] The invention belongs to the field of identity recognition, and in particular relates to a hand shape recognition method for identity recognition by extracting geometric features of the hand shape. Background technique [0002] Hand shape recognition refers to the recognition of the geometric figure formed by the outer contour of the hand. Compared with other biological characteristics (such as iris and fingerprints), the measurement of hand shape is relatively easy to implement, and the requirements for image acquisition equipment are relatively low, and the hand shape recognition algorithm is relatively simple. Of all the biometric methods, hand authentication is the fastest. Based on the above reasons, hand-shape authentication has become an important part of biometric technology, and has received more and more attention. [0003] At present, there are two processing methods for collecting images of the hand shape. One method is to light the botto...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 苑玮琦朱春艳桑海峰柯丽黄静
Owner SHENYANG POLYTECHNIC UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products